For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
1,113
views
14
references
 Top references
cited by
1
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    8
    shares
      279
      similar
       All similar

      Studying business & IT? Drive your professional career forwards with BCS books - for a 20% discount click here: shop.bcs.org

      scite_
       
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

      Sonic Xplorer: A Machine Learning Approach for Parametric Exploration of Sound

      Published
      proceedings-article
      Author(s):
      Publication date (Print):
      Conference name: Electronic Visualisation and the Arts (EVA 2017) (EVA)
      Conference theme: Electronic Visualisation and the Arts
      Conference date: 11 – 13 July 2017
      Keywords: Sound synthesis, Multiparametric control, Artificial neural networks, Sound timbre, Semantic descriptors
      Bookmark

            Abstract

            This paper presents Sonic Xplorer an interfaces that uses timbre adjectives for multiparametric control sound synthesis. The interface utilises an artificial neural network to create a personalised interface. Users can manipulate a large number of sound synthesis parameters without the need to learn or use the synthesiser’s complex interface by utilising programed sounds by expert users. Sonic Xplorer learns a correlation based on users’ ratings between timbre adjectives and the acoustic descriptors. Timbre adjectives are then used to describe the acoustic qualities of the desired sound. This paper discusses in detail the approach that has been followed to develop the system and the mapping and strategies users employed when using the interface in order to discover new sounds.

            Content

            Author and article information

            Contributors
            Augoustinos Tsiros
            Conference
            Publication date: July 2017
            Publication date (Print): July 2017
            Pages: 144-149
            Affiliations
            [0001]Centre for Interaction Design

            Edinburgh Napier University

            10 Colinton Road, EH10 5DT

            Scotland
            Article
            DOI: 10.14236/ewic/EVA2017.34
            SO-VID: d0cd2f11-5a22-419e-8084-e9ac82864511
            Copyright © © Tsiros. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2017, UK
            License:

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Conference name: Electronic Visualisation and the Arts (EVA 2017)
            Conference acronym: EVA
            Conference number:
            Conference location: London, UK
            Conference date: 11 – 13 July 2017
            Conference sponsor: Electronic Workshops in Computing (eWiC)
            Conference theme: Electronic Visualisation and the Arts
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2017.34
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Series title: Electronic Workshops in Computing

            ScienceOpen disciplines: Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Keywords: Sound synthesis,Sound timbre,Multiparametric control,Semantic descriptors,Artificial neural networks

            6. REFERENCES

            1. 2013 Machine Learning of Musical Gestures. Proceedings of the International Conference on New Interfaces for Musical Expression 2013 (NIME 2013) 513 518

            2. 2006 A model for graphical interaction applied to gestural control of sound. Sound and Music Computing Conference

            3. 2006 Timbral description of musical instruments. In International Conference on Music Perception and Cognition

            4. 2016 The Machine Learning Algorithm as Creative Musical Tool. Handbook of Algorithmic Music

            5. 2012 Exploring violin sound quality: Investigating English timbre descriptors and correlating resynthesized acoustical modifications with perceptual properties The Journal of the Acoustical Society of America 131 783 794

            6. 2000 Mapping strategies for musical performance. In Trends in Gestural Control of Music 231 258

            7. 2000 Towards a Model for Instrumental Mapping in Expert Musical Interaction. In International Computer Music Conference

            8. 2003 The importance of parameter mapping in electronic instrument design Journal of New Music Research 32 4 429 440 DOI:10.1076/jnmr.32.4.429.18853

            9. 2007 A matlab toolbox for musical feature extraction from audio. International Conference on Digital Audio FX, (Ii) 1 8

            10. 2012 Towards Speeding Audio EQ Interface Building with Transfer Learning. In NIME 2012 Proceedings of the International Conference on New Interfaces for Musical Expression 145 148

            11. 2001 Analyses of verbal descriptions of the sound quality of a flue organ pipe Musicae Scientiae 6 1 55 82

            12. 2006 Musical Sound Timbre: Verbal Description and Dimensions. In 9th Int. Conference on Digital Audio Effects 121 126

            13. 2011 An Investigation of Musical Timbre: Uncovering Salient Semantic Descriptors and Perceptual Dimensions. In 12th International Society for Music Information Retrieval Conference 807 812

            Comments

            Comment on this article